System and method of determining if a surface is printed or a device screen

ABSTRACT

A system and method of determining if a surface contains print or is a screen of a device is provided. The method is comprised of the steps of: acquiring a spectral wavelength signature of the surface; comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra; scanning the surface with an image-based scanner in non-illumination mode based upon the spectral wavelength signature of the surface corresponding to the RGB triple-peak emission spectra, and scanning the surface with an image-based scanner in illumination mode based upon the spectral wavelength signature of the surface not corresponding to the RGB triple-peak emission spectra.

CROSS-REFERENCE TO RELATED APPLICATION

The present application claims the benefit of U.S. patent application Ser. No. 14/850,110 for System and Method of Determining if a Surface is Printed or a Mobile Device Screen filed Sep. 10, 2015 (and published Mar. 16, 2017 as U.S. Patent Publication No. 2017/0076122), now U.S. Pat. No. 9,659,198. Each of the foregoing patent application, patent publication, and patent is hereby incorporated by reference in its entirety.

FIELD OF THE INVENTION

The present invention relates to scanning bar codes on devices and more particularly to recognizing when the barcode is appearing on a device screen or printed on a surface.

BACKGROUND

Generally speaking, many retailers are beginning to deploy both customer loyalty cards and coupons to cell phones and mobile devices. This is seen as a way to provide improved customer service and sales as well as gain valuable marketing information. Some retailers are deploying customer id's that allow purchases to be charged against accounts that have pre-paid balances. Almost all of these schemes involve one-dimensional or two-dimensional barcodes that are displayed on mobile screens.

Barcodes that are displayed on mobile screens cannot be read with laser barcode scanners. Mobile screen barcodes can only be read by imaging-based scanners. In addition, these imaging-based scanners must operate differently to read screen-displayed barcodes verses printed barcodes.

For example, the display screens on many cell phones and mobile devices are LED-based which make use of RGB (red/green/blue) emitters. RGB emitters are chosen because they can cover a wide portion of the visible color gamut. Each emitter has a peak wavelength as well as a spectral width associated with it. When all three emitters are viewed against the visible spectrum, a triple peak emission curve is present for a white-lit screen. Other emission sources which may illuminate printed surfaces could be sunlight, incandescent light, white-light LED, warm-white fluorescent bulbs and older style fluorescent bulbs. Imaging-based scanners, in general can't distinguish between the various sources of illumination.

In general, the imaging-based scanners must extend the duration of their exposure when scanning barcodes on mobile device screens. Further, imaging-based scanners need different illumination schemes depending on whether the barcode is printed or on the screen of a mobile device.

If the application requires both printed and screen-based bar codes to be decoded, the imaging-based scanners must either operate in multiple modes, or be able to determine which type of bar code is being presented. Without knowing which type of bar code is being presented, the scanner can appear to be less aggressive with decoding.

Not all applications with mobile device screens involve barcodes, but it may still be advantageous to identify the mobile device screen over a printed surface. Such identification may prompt the scanner or an operator of an image-based scanner to ask certain questions or take certain actions based upon the presentation of a mobile device over a printed surface.

Therefore, a need exists for a system and process to determine whether a presented surface is printed or a mobile device screen and be able to scan the surface with appropriate settings based upon the determination.

SUMMARY

Accordingly, in one aspect, the present invention embraces a system for determining if a surface contains print or is a screen of a mobile device.

In an exemplary embodiment, the system for determining if a surface contains print or is a screen of a mobile device is provided comprising: means to acquire a spectral wavelength signature of the surface; means to compare the spectral wavelength signature of the surface to RGB triple-peak emission spectra; and an image-based scanner. The means to acquire a spectral wavelength signature and the means to compare the spectral wavelength signature to RGB triple-peak emission spectra are communicatively linked. The image-based scanner is provided with an illumination mode and a non-illumination mode. The image-based scanner is communicatively linked to the means to acquire a spectral wavelength signature and the means to compare the spectral wavelength signature. The system is configured to acquire the spectral wavelength signature of the surface with the means to acquire the spectral wavelength signature and to compare the spectral wavelength signature to the RGB triple-peak emission spectra with the means to compare the spectral wavelength signature. The system is further configured to scan the surface with the image-based scanner in the non-illumination mode based upon the spectral wavelength signature corresponding to the RGB triple-peak emission spectra. The system is further configured to scan the surface with the image-based scanner in the illumination mode based upon the spectral wavelength signature not corresponding to the RGB triple-peak emission spectra.

In another exemplary embodiment of the invention, the surface contains a barcode, and the image-based scanner is provided with barcode scanning capability.

In another exemplary embodiment of the invention, the means to acquire a spectral wavelength signature of the surface is comprised of a diffractive element and a sensor element. The system is configured to acquire the spectral wavelength signature by capturing light from the surface, sending the captured light through the diffractive element, and using the sensor element acquire the spectral wavelength signature.

In another exemplary embodiment of the invention, the sensor element is selected from a linear imager and a two-dimensional sensor.

In yet another exemplary embodiment of the invention, the means to acquire a spectral wavelength signature of the surface is comprised of colored-filters and a sensor element. The system is configured to acquire the spectral wavelength signature by capturing light from the surface, sending the captured light through colored filters, and using the sensor element to acquire the spectral wavelength signature.

In another exemplary embodiment of the invention, the means to acquire a spectral wavelength signature of the surface is comprised of a two-dimensional imaging lens having intentional chromatic aberrations and a sensor element. The system is configured to acquire the spectral wavelength signature by capturing light from the surface, sending the captured light through the two-dimensional imaging lens, and using the sensor element to acquire the spectral wavelength signature.

In another exemplary embodiment of the invention, the means to compare the spectral wavelength signature RGB triple-peak emission spectra is selected from: Spectral Angle Mapper software, Principal Component Analysis software, and Pearson correlation coefficient software.

In another exemplary embodiment of the invention, the system further comprises a laser scanner. The system is configured to scan the surface with the laser scanner based upon the spectral wavelength signature not matching the RGB triple-peak emission spectra.

In another exemplary embodiment of the invention, the system is further configured to compare the spectral wavelength signature to known spectra selected from the spectra of sunlight, incandescent light, white LED light, warm-white fluorescent light, and fluorescent light with the means to compare the spectral wavelength signature; and wherein the system is further configured to scan the surface with the image-based scanner in the illumination mode based upon the spectral wavelength signature corresponding to the known spectra.

In another exemplary embodiment of the invention, the means to acquire a spectral wavelength signature of the surface and the image-based scanner use a same field of view.

In yet another exemplary embodiment of the invention, a system for determining if a surface contains print or is a screen of a mobile device is provided, comprising: an image-based scanner; and image recognition software. The image recognition software is provided with information about aspect ratios of mobile device screens, aspect ratios of mobile devices, and features associated with mobile devices. The system is configured to capture a digital image of the surface and proximate surrounding background to the surface with the image-based scanner, and submit the digital image to the image recognition software. The system is further configured to scan the surface with the image-based scanner in the non-illumination mode based upon positive comparisons between the digital image and the information about mobile devices stored in the image recognition software.

In another exemplary embodiment of the invention, the features associated with mobile devices may be selected from: a presence of a portion of a human hand holding a device with the aspect ratio of a mobile device and a lit screen.

In another exemplary embodiment, the system is further configured to prompt a user of the system based upon positive comparisons between the digital image and the information about mobile devices stored in the image recognition software.

In another aspect, the present invention embraces a method of determining if a surface contains print or is a screen of a mobile device and for scanning the surface.

In an exemplary embodiment of the invention, the method comprises the steps of: acquiring a spectral wavelength signature of the surface; comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra; scanning the surface with an image-based scanner in non-illumination mode based upon the spectral wavelength signature of the surface corresponding to the RGB triple-peak emission spectra; and scanning the surface with an image-based scanner in illumination mode based upon the spectral wavelength signature of the surface not corresponding to the RGB triple-peak emission spectra.

In another exemplary embodiment of the invention, the acquiring step is accomplished by the steps of: capturing light from the surface; sending the captured light through a diffractive element; and sensing the structure of the spectral wavelength signature with a sensing element.

In another exemplary embodiment of the invention, the sensor element is selected from a linear imager and a two-dimensional sensor.

In yet another exemplary embodiment of the invention, the acquiring step is accomplished by the steps of: capturing light from the surface, sending the captured light through colored filters, and sensing the structure of the spectral wavelength signature with a sensing element.

In another exemplary embodiment of the invention, the acquiring step is accomplished by the steps of: capturing light from the surface, sending the captured light through a two-dimensional imaging lens having intentional chromatic aberrations, and sensing the structure of the spectral wavelength signature with a sensing element.

In yet another exemplary embodiment of the invention, the comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra step is accomplished by using software selected from Spectral Angle Mapper software, Principal Component Analysis software, and Pearson correlation coefficient software.

In another embodiment of the invention, the surface contains a barcode; and wherein the image-based scanner provided with barcode scanning capabilities.

In another exemplary embodiment of the invention, the step of comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra also includes comparing the spectral wavelength signature of the surface to known spectra. The known spectra are selected from the spectra of sunlight, incandescent light, white LED light, warm-white fluorescent light, and fluorescent light. The step of scanning the surface with an image-based scanner in illumination mode is based upon the spectral wavelength signature of the surface corresponding to the known spectra.

The foregoing illustrative summary, as well as other exemplary objectives and/or advantages of the invention, and the manner in which the same are accomplished, are further explained within the following detailed description and its accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 graphically depicts a typical RGB emission spectrum.

FIG. 2 schematically depicts an exemplary embodiment of the system for determining if a surface contains print or is a screen of a mobile device in accordance with the invention.

FIG. 3 schematically depicts a flowchart of the steps to carry out the method for determining if a surface contains print or is a screen of a mobile device according to an exemplary embodiment of the invention.

FIG. 4 schematically depicts a flowchart of the acquiring step according to an exemplary embodiment of the invention.

DETAILED DESCRIPTION

The present invention embraces a system for determining if a surface contains print or is a screen of a mobile device. As discussed hereinbefore, the display screens on many cell phones and mobile devices are LED-based which make use of RGB (red/green/blue) emitters. As shown in FIG. 1, when the RGB emitters are viewed against the visible spectrum, a triple peak emission curve (10) is present for a white-lit mobile device screens.

In an exemplary embodiment, referring now to FIG. 2, the system (30) for determining if a surface (20) contains print or is a screen of a mobile device is comprised of: means to acquire a spectral wavelength signature of the surface (34); means to compare the spectral wavelength signature of the surface to RGB triple-peak emission spectra (36); and an image-based scanner (32). The means to acquire a spectral wavelength signature (34) and the means to compare the spectral wavelength signature to RGB triple-peak emission spectra (36) are communicatively linked. The image-based scanner (32) is provided with an illumination mode and a non-illumination mode. The image-based scanner is also capable of scanning in 50/50 duty cycle between the illumination mode and the non-illumination mode, and other ratios of duty cycle between modes. It is to be understood in the context of the present invention that when it is referred that the image-based scanner scans in illumination mode, this includes scanning in predominantly illumination mode; that is less than a 100% duty cycle. Likewise, in terms of the present invention, when it is referred that the image-based scanner scans in non-illumination mode, this includes scanning in predominantly non-illumination mode; that is less than a 100% duty cycle. Further, the image-based scanner (32) is communicatively linked to the means to acquire a spectral wavelength signature (34) and to the means to compare the spectral wavelength signature (36). The system (30) may be provided with a central processing unit (cpu) (33), which may act as a hub for communicatively linking the image-based scanner (32), the means for acquiring a spectral wavelength signature (34), and the means to compare the spectral wavelength signature (36). The cpu (33) also can help the system (30) direct other components of the system (30), for example the image-based scanner (32), to operate. The system (30) is configured to acquire the spectral wavelength signature of the surface (20) with the means to acquire the spectral wavelength signature (34) and to compare the spectral wavelength signature to the RGB triple-peak emission spectra with the means to compare the spectral wavelength signature (36). The system (30) is further configured to scan the surface (20) with the image-based scanner (32) in the non-illumination mode based upon the spectral wavelength signature corresponding to the RGB triple-peak emission spectra. In the alternative, the system (30) is configured to scan the surface (20) with the image-based scanner (32) in the illumination mode based upon the spectral wavelength signature not corresponding to the RGB triple-peak emission spectra.

In another exemplary embodiment, the surface (20) contains a barcode (22). The image-based scanner (32) is provided with barcode scanning capability.

In another exemplary embodiment, the means to acquire a spectral wavelength signature of the surface (34) is comprised of a diffractive element (not shown) and a sensor element (not shown). The system (30) is configured to acquire the spectral wavelength signature by capturing light from the surface (20), sending the captured light through the diffractive element, and using the sensor element acquire the spectral wavelength signature.

In another exemplary embodiment, the sensor element is selected from a linear imager and a two-dimensional sensor.

In another exemplary embodiment, the means to acquire a spectral wavelength signature of the surface (34) is comprised of colored-filters and a sensor element. The system (30) is configured to acquire the spectral wavelength signature by capturing light from the surface (20), sending the captured light through colored filters, and using the sensor element to acquire the spectral wavelength signature.

In yet another exemplary embodiment, the means to acquire a spectral wavelength signature of the surface (34) is comprised of a two-dimensional imaging lens having intentional chromatic aberrations (not shown) and a sensor element. The system (30) is configured to acquire the spectral wavelength signature by capturing light from the surface (20), sending the captured light through the two-dimensional imaging lens, and using the sensor element to acquire the spectral wavelength signature.

In another exemplary embodiment, the means to compare the spectral wavelength signature to RGB triple-peak emission spectra (36) is selected from: Spectral Angle Mapper software, Principal Component Analysis software, and Pearson correlation coefficient software, or other methods known in the art. For example, the Pearson Correlation Coefficient is used to measure the strength of a linear association between two variables, or in the present case between two functions. Software has been developed to run these comparisons to determine correspondence. The comparison between the spectral wavelength signature of the surface and the RGB triple-peak emission spectra (10) from FIG. 1 does not have to be an exact match to show correspondence as various RGB emitter schemes will have different spectra. The means to compare the spectral wavelength signature (36) should be looking for more for congruence than matching spectra.

In another exemplary embodiment, the system further includes a laser scanner (37). The system (30) is configured to scan the surface (20) with the laser scanner (37) based upon the spectral wavelength signature not matching the RGB triple-peak emission spectra.

In yet another exemplary embodiment, the system (30) is configured to compare the spectral wavelength signature to known spectra selected from the spectra of sunlight, incandescent light, white LED light, warm-white fluorescent light, and fluorescent light with the means to compare the spectral wavelength signature (34). The system (30) is further configured to scan the surface (20) with the image-based scanner (32) in the illumination mode based upon the spectral wavelength signature corresponding to the known spectra.

In another exemplary embodiment, the means to acquire a spectral wavelength signature of the surface (34) and the image-based scanner (32) use a same field of view.

In another aspect, the invention embraces a system based on image recognition of the surface to be scanned. In an exemplary embodiment, the system (30) is further comprised of: image recognition software (38). The image recognition software (38) is provided with information about aspect ratios of mobile device screens, aspect ratios of mobile devices, and features associated with mobile devices. The system (30) is configured to capture a digital image of the surface (20) and proximate surrounding background to the surface (not shown) with the image-based scanner (32), and submit the digital image to the image recognition software (38). The system (30) is further configured to scan the surface (20) with the image-based scanner (32) in the non-illumination mode based upon positive comparisons between the digital image and the information about mobile devices stored in the image recognition software (38). The cpu (33) links and controls the image recognition software (38) within the system (30). The features associated with mobile devices may be selected from: a presence of a portion of a human hand holding a device with the aspect ratio of a mobile device and a lit screen.

In another exemplary embodiment, the system (30) is configured to capture a digital image of the surface (20) and proximate surrounding background to the surface (20) with the image-based scanner (32) and to submit the digital image to the image recognition software (38). The system (30) is further configured to prompt a user of the system (30) based upon positive comparisons between the digital image and the information about mobile devices stored in the image recognition software (38). For example, the system may prompt the user of the system, for example a point of sale representative, to ask for the holder of the mobile device for an email address based on the positive comparison.

In another aspect, the invention embraces a method of determining if a surface contains print or is a screen of a mobile device, and for scanning the surface. Referring now to FIG. 3, the method (50) is depicted as a flowchart.

In an exemplary embodiment, the method (50) is comprised of the steps of: (51) acquiring a spectral wavelength signature of the surface; (52) comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra; (53) scanning the surface with an image-based scanner in non-illumination mode based upon the spectral wavelength signature of the surface corresponding to the RGB triple-peak emission spectra, and (54) scanning the surface with an image-based scanner in illumination mode based upon the spectral wavelength signature of the surface not corresponding to the RGB triple-peak emission spectra. Step (52) compares the spectral wavelength signature of the surface to the RGB triple-peak emission spectra. If there is a predetermined level of correspondence during the comparing step (52) an algorithm determines (91) that the surface (20) should be scanned with the image-based scanner in non-illumination mode. If the correspondence does not rise to the predetermined level during the comparing step (52), than the algorithm determines (91) that the surface (20) should be scanned in illumination mode.

It is to be understood in the preceding and foregoing embodiments that reference to illumination mode and non-illumination mode includes less than a 100% duty cycle in the respective mode, but predominantly illumination mode and predominantly non-illumination mode respectively.

In another exemplary embodiment, the step (52) of comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra is accomplished by applying software selected from Spectral Angle Mapper software, Principal Component Analysis software, and Pearson correlation coefficient software.

In another exemplary embodiment, the step (52) of comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra also includes the step (55) of comparing the spectral wavelength signature of the surface to known spectra. That is, if the spectral wavelength signature of the surface does not correspond to RGB triple-peak emission spectra as determined by the algorithm (91), then the spectral wavelength signature of the surface is compared to the known spectra. The known spectra are selected from the spectra of sunlight, incandescent light, white LED light, warm-white fluorescent light, and fluorescent light. Further, the step (54) of scanning the surface with an image-based scanner in illumination mode is based upon the spectral wavelength signature of the surface corresponding to the known spectra. Step (55) compares the spectral wavelength signature of the surface to the known spectra. If there is a predetermined level of correspondence during the comparing step (55), an algorithm determines (92) that the surface (20) should be scanned with the image-based scanner in illumination mode.

In another exemplary embodiment, if the spectral wavelength signature of the surface cannot be definitively determined by algorithm (91) and (92), than the process further comprises the step (56) of scanning the surface with the image-based scanner under a 50/50 duty cycle between the illumination mode and the non-illumination mode.

Referring now to FIG. 4, alternatives for the step of acquiring a spectral wavelength signature of the surface (51) are schematically depicted.

In an exemplary embodiment, the step of acquiring a spectral wavelength signature of the surface (51) is accomplished by the steps of: (61) capturing light from the surface; (62) sending the captured light through a diffractive element; and (63) sensing the structure of the spectral wavelength signature with a sensing element.

In another exemplary embodiment, the acquiring step (51) is accomplished by the steps of: (71) capturing light from the surface; (72) sending the captured light through colored filters; and (73 sensing the structure of the spectral wavelength signature with a sensing element.

In yet another exemplary embodiment, the acquiring step (51) is accomplished by the steps of: (81) capturing light from the surface; (82) sending the captured light through a two-dimensional imaging lens having intentional chromatic aberrations, and (83) sensing the structure of the spectral wavelength signature with a sensing element.

To supplement the present disclosure, this application incorporates entirely by reference the following commonly assigned patents, patent application publications, and patent applications:

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In the specification and/or figures, typical embodiments of the invention have been disclosed. The present invention is not limited to such exemplary embodiments. The use of the term “and/or” includes any and all combinations of one or more of the associated listed items. The figures are schematic representations and so are not necessarily drawn to scale. Unless otherwise noted, specific terms have been used in a generic and descriptive sense and not for purposes of limitation. 

The invention claimed is:
 1. A system, comprising: means to acquire a spectral wavelength signature of a surface; means to compare the spectral wavelength signature of the surface to RGB triple-peak emission spectra; a scanner comprising an illumination mode and a non-illumination mode; wherein the system is configured to: acquire the spectral wavelength signature of the surface; compare the spectral wavelength signature to the RGB triple-peak emission spectra; and based on the comparison of the spectral wavelength signature to the RGB triple-peak emission spectra, scan the surface with the scanner in the non-illumination mode or the illumination mode.
 2. The system of claim 1, wherein the surface contains a barcode, and wherein the scanner has barcode scanning capability.
 3. The system of claim 1, wherein: the means to acquire a spectral wavelength signature of the surface comprises a diffractive element and a sensor element; and the system is configured to acquire the spectral wavelength signature by capturing light from the surface, sending the captured light through the diffractive element, and using the sensor element acquire the spectral wavelength signature.
 4. The system of claim 3, wherein the sensor element is selected from a linear imager and a two-dimensional sensor.
 5. The system of claim 1, wherein: the means to acquire a spectral wavelength signature of the surface comprises colored-filters and a sensor element; and the system is configured to acquire the spectral wavelength signature by capturing light from the surface, sending the captured light through colored filters, and using the sensor element to acquire the spectral wavelength signature.
 6. The system of claim 1, wherein: the means to acquire a spectral wavelength signature of the surface comprises a two-dimensional imaging lens having intentional chromatic aberrations and a sensor element; and the system is configured to acquire the spectral wavelength signature by capturing light from the surface, sending the captured light through the two-dimensional imaging lens, and using the sensor element to acquire the spectral wavelength signature.
 7. The system of claim 1, wherein the means to compare the spectral wavelength signature to RGB triple-peak emission spectra is selected from: Spectral Angle Mapper software, Principal Component Analysis software, and Pearson correlation coefficient software.
 8. The system of claim 1, comprising a laser scanner, wherein the system is configured to scan the surface with the laser scanner based upon the spectral wavelength signature not matching the RGB triple-peak emission spectra.
 9. The system of claim 1, wherein the system is configured to: compare the spectral wavelength signature to known spectra selected from the spectra of sunlight, incandescent light, white LED light, warm-white fluorescent light, and fluorescent light; and scan the surface with the scanner in the illumination mode based upon the spectral wavelength signature corresponding to the known spectra.
 10. The system of claim 1, wherein the means to acquire a spectral wavelength signature of the surface and the scanner have a same field of view.
 11. A method, comprising: acquiring a spectral wavelength signature of a surface; comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra; if the spectral wavelength signature of the surface does not correspond to RGB triple-peak emission spectra, scanning the surface in an illumination mode; if the spectral wavelength signature of the surface does correspond to RGB triple-peak emission spectra, scanning the surface in a non-illumination mode; and if comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra cannot determine whether the spectral wavelength signature of the surface corresponds to RGB triple-peak emission spectra, scanning the surface in a 50/50 duty cycle between the illumination mode and the non-illumination mode.
 12. The method of claim 11, wherein acquiring a spectral wavelength signature of a surface comprises: capturing light from the surface; sending the captured light through a diffractive element; and sensing the structure of the spectral wavelength signature with a sensing element.
 13. The method of claim 11, wherein acquiring a spectral wavelength signature of a surface comprises: capturing light from the surface; sending the captured light through colored filters; and sensing the structure of the spectral wavelength signature with a sensing element.
 14. A method, comprising: acquiring a spectral wavelength signature of a surface; comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra; and operating a scanner to scan the surface in at least one of an illumination mode or a non-illumination mode based on the comparison of the spectral wavelength signature of the surface to the RGB triple peak emission spectra.
 15. The method of claim 14, wherein acquiring a spectral wavelength signature of a surface comprises: capturing light from the surface; sending the captured light through a diffractive element; and sensing the structure of the spectral wavelength signature with a sensing element.
 16. The method of claim 14, wherein acquiring a spectral wavelength signature of a surface comprises: capturing light from the surface; sending the captured light through colored filters; and sensing the structure of the spectral wavelength signature with a sensing element.
 17. The method of claim 14, wherein acquiring a spectral wavelength signature of a surface comprises: capturing light from the surface; sending the captured light through a two-dimensional imaging lens having intentional chromatic aberrations; and sensing the structure of the spectral wavelength signature with a sensing element.
 18. The method of claim 14, wherein comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra step is accomplished using software selected from Spectral Angle Mapper software, Principal Component Analysis software, and Pearson correlation coefficient software.
 19. The method of claim 14, wherein the surface contains a barcode, and wherein the scanner has barcode scanning capabilities.
 20. The method of claim 14, wherein: comparing the spectral wavelength signature of the surface to RGB triple-peak emission spectra comprises comparing the spectral wavelength signature of the surface to known spectra, the known spectra being selected from the spectra of sunlight, incandescent light, white LED light, warm-white fluorescent light, and fluorescent light; and scanning the surface in illumination mode is based upon the spectral wavelength signature of the surface corresponding to the known spectra. 